Data Engineer

Jaya Lekhrajani

**B Smith St, Boston MA ***** I **********.*@*****.***.*** I 857-***-**** https://github.com/JayaLekhrajani

Education Northeastern University, Boston, MA

Master of Science in Information Systems Dec 2017

Goa University, Goa, India

Bachelor of Engineering in Computer Science Aug 2011

Technical Skills

Languages and Statistical Packages: Python, R, JAVA

Big Data Technologies and Framework: Hadoop, MapReduce, Apache Spark, Apache Kafka, Apache Flume

Web Technologies and Framework: HTML, CSS, JavaScript, Angular.js, J2EE, Spring MVC, Hibernate, React.js, jQuery, Ajax

Databases: SQL Server, MySQL, MongoDB, HBase

Professional Experience The Norfolk & Dedham Group, Boston Jan 2017-Aug 2017

Full-Stack Developer

Worked as a Full-Stack Developer to create web applications on Spring MVC design pattern in agile environment

Redesigned and restructured JSPs and Servlets to improve code readability and reusability, and to facilitate easy maintenance

Used Design Patterns for writing clean code and enhanced the website stability by identifying and resolving bugs

Designed and implemented business logic in EJBs using JAVA and developed REST APIs

Created SQL Stored Procedures to implement complex logic for data analysis which ensured performance gain and security

Compunnel Software Group, Goa, India

Software Engineer May 2013-Dec 2015

Created dynamic web-applications using web-technologies and JavaScript frameworks

Utilized IBM SPSS to track and analyze data, and used statistical techniques to validate data

Provided insights to web-data analysis using Kibana, Elasticsearch and SQL

Successfully interpreted data to draw conclusions for managerial action and strategy

Tata Consultancy Services Limited, Chennai, India

Assistant System Engineer Mar 2012- Apr 2013

Experienced in areas of IT Service Management (ITSM) Support and Delivery, with key responsibilities in problem, incident and change management using Information Technology Infrastructure Library (ITIL) best practices and focusing on adhering to Service Level Agreements (SLA) and Operational Level Agreements (OLA) within global IT enterprise

Academic Projects

Home Assistant mobile application Dec 2017

Built an iOS Swift application to control a light and camera with the help of Raspberry Pi and IBM IoT Platform service by utilizing

Cognitive service APIs

Facebook-Messenger Bot Nov 2017

Used Tensorflow to build a seq2seq model on past conversation blogs from Facebook to build a chatbot

SemEval 2017 Oct 2017

Built Sentiment Analysis Engine for financial microblogs and news using Deep Learning Models like LSTMs, CNN, RNN and Bi-GRU

Object Recognition using CIFAR-10 Dataset Sep 2016

Used CNNs, SoftMax Regression and SVM to build a model that accurately classifies images using CIFAR-10 dataset using Keras

Analyzing US Presidential Elections Aug 2016

Created predictive pipelines using Azure Machine Learning Studio and performed Real-Time Twitter sentiment analysis.

Performed Social Media Analytics by crawling the nominees’ public page Facebook data and displaying the results using R Shiny

Movie Recommendation System July 2016

Implemented Recommendation System using Apache Spark and analyzed the data using MapReduce Design Patterns and created

dashboard on Tableau for BI analysis

Predicting customer churn June 2016

Predicted customer churn in telecom industry by using EDA, correlation-based feature selection & by building predictive pipelines

Patient Management System March 2016

Designed database for managing patient’s information using Toad Data Modeler and MySQL and implemented a comprehensive

patient database using Structured Query Language, Stored Procedures, Triggers and Function

Independent Projects

Real-time data collection and aggregation using Spark Streaming May 2017 Used Microsoft’s data to provide real time aggregates of the user’ movements by Spark streaming, decoupling the real-time pipeline with a message broker (Apache Kafka) and performed Hbase and Spark integration using the spark Hbase connector

Quora Question Pairs Classification April 2017

Built Analytics Engine on Quora questions using Feature Engineering and NLP in Python to predict which of the provided pairs of questions contain two questions with the same meaning

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